A typed judgment service sits beside ordinary code; code owns effects and safety boundaries.
Caveat. The extra network hop must beat a local rule or classifier.
Repeated structures
The shapes people keep building.
Each pattern appeared more than once across the collected material. Convergence shows what feels natural to build; it is not a measurement of how well the shape performs under load.
A cheap decision chooses whether to use rules, a small model, a premium model, a specialist, or a human.
Caveat. Bad routing can erase all cost savings through failures and retries.
Automation proceeds above a threshold; ambiguous cases go to another check or a person.
Caveat. Thresholds require workload-specific calibration and monitoring.
One state is evaluated against many named questions, replacing repeated prompt/parse cycles.
Caveat. Accuracy and question interactions under large batches remain unknown.
Jev supplies fuzzy predicates while TypeScript, policies, and workflows execute constrained actions.
Caveat. Incorrect predicates are still operational errors even when outputs are valid.
Multiple typed judgments are aggregated through voting or confidence-aware stopping.
Caveat. Calling the same model repeatedly may produce correlated rather than independent evidence.